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AI123AI ModelsqwenQwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct

Qwen3 Coder 30B A3B Instruct

qwen

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the Qwen3 architecture, it supports a native context length of 256K tokens (extendable to 1M with Yarn) and performs strongly in tasks involving function calls, browser use, and structured code completion.

This model is optimized for instruction-following without “thinking mode”, and integrates well with OpenAI-compatible tool-use formats.

Modalities
TT
Input / output price
$0.07/$0.28per 1M tokens
Context
262K
Released
2025-07-31
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutput
$0.07/ 1M tokens$0.28/ 1M tokens

Artificial Analysis

Explore rankings
9.6

Intelligence index

Outperforms 27% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
Data Visualization: 1085; UI Component: 1041; Website: 1087Data Visualization1085 EloUI Component1041 EloWebsite1087 Elo

Model Arena

Data Visualization

1085Elo

Win rate 54.7%

UI Component

1041Elo

Win rate 54.1%

Website

1087Elo

Win rate 57.1%

How Design Arena works

Related Models

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Qwen3.8 Max (0902)

qwen

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.

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Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B

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Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.

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Qwen3.8 27B

Qwen3.8 27B

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Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

Context
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Max output
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Released
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Input
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Cache read
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